{"id":"https://openalex.org/W2584278510","doi":"https://doi.org/10.1109/bigdata.2016.7840664","title":"Scalable link community detection: A local dispersion-aware approach","display_name":"Scalable link community detection: A local dispersion-aware approach","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584278510","doi":"https://doi.org/10.1109/bigdata.2016.7840664","mag":"2584278510"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054326104","display_name":"Panagiotis Liakos","orcid":"https://orcid.org/0000-0003-4569-7801"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiotis Liakos","raw_affiliation_strings":["University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030400740","display_name":"Alexandros Ntoulas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandros Ntoulas","raw_affiliation_strings":["Samsung Research America, Mountain View, CA"],"affiliations":[{"raw_affiliation_string":"Samsung Research America, Mountain View, CA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112128898","display_name":"Alex Delis","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alex Delis","raw_affiliation_strings":["University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054326104"],"corresponding_institution_ids":["https://openalex.org/I200777214"],"apc_list":null,"apc_paid":null,"fwci":3.0938,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92149926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7678800821304321},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7115342617034912},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5646743178367615},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.5617626309394836},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5095193982124329},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5085560083389282},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5023107528686523},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4906436502933502},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45933783054351807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3529495596885681},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34784168004989624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2688043713569641},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26494744420051575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09362196922302246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7678800821304321},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7115342617034912},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5646743178367615},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.5617626309394836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5095193982124329},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5085560083389282},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5023107528686523},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4906436502933502},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45933783054351807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3529495596885681},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34784168004989624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2688043713569641},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26494744420051575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09362196922302246},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.49000000953674316,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1743429370","https://openalex.org/W1971421925","https://openalex.org/W1971937094","https://openalex.org/W1976969221","https://openalex.org/W1989324514","https://openalex.org/W1994593142","https://openalex.org/W2016273060","https://openalex.org/W2020547732","https://openalex.org/W2022266816","https://openalex.org/W2022704179","https://openalex.org/W2042276255","https://openalex.org/W2047940964","https://openalex.org/W2050239729","https://openalex.org/W2060616833","https://openalex.org/W2066090568","https://openalex.org/W2090372231","https://openalex.org/W2095293504","https://openalex.org/W2098509290","https://openalex.org/W2109469951","https://openalex.org/W2110620844","https://openalex.org/W2112439948","https://openalex.org/W2122515732","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2131681506","https://openalex.org/W2139694940","https://openalex.org/W2161455936","https://openalex.org/W2164928285","https://openalex.org/W2169223901","https://openalex.org/W2197577483","https://openalex.org/W2576039366","https://openalex.org/W2620315948","https://openalex.org/W2964129681","https://openalex.org/W2997134027","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W4293657805","https://openalex.org/W6655932363","https://openalex.org/W6666960779","https://openalex.org/W6731910395"],"related_works":["https://openalex.org/W2782859253","https://openalex.org/W2892165056","https://openalex.org/W2034220069","https://openalex.org/W2006852656","https://openalex.org/W2098964748","https://openalex.org/W2045864404","https://openalex.org/W11097679","https://openalex.org/W2129331923","https://openalex.org/W252900523","https://openalex.org/W2948079051"],"abstract_inverted_index":{"Real-life":[0],"systems":[1,24],"involving":[2],"interacting":[3],"objects":[4],"are":[5],"typically":[6],"modeled":[7],"as":[8,159,161],"graphs":[9],"and":[10,42,90,238],"can":[11],"often":[12],"grow":[13],"very":[14,57,81],"large":[15,85,225],"in":[16,27,74,83,112,156,167,181,194],"size.":[17],"Revealing":[18],"the":[19,36,52,63,66,106,121,130,133,136,150,157,162,173,179,198,205],"community":[20,49,55,100],"structure":[21],"of":[22,39,46,54,65,70,108,132,152,154,164,224],"such":[23,60],"is":[25,62,80,118,188],"crucial":[26],"helping":[28],"us":[29],"better":[30],"understand":[31],"their":[32,165],"complex":[33],"nature.":[34],"However,":[35],"ever-increasing":[37],"size":[38],"real-world":[40,226],"graphs,":[41],"our":[43],"evolving":[44],"perception":[45],"what":[47],"a":[48,71,75,97,113,221],"is,":[50],"make":[51],"task":[53],"detection":[56,101],"challenging.":[58],"One":[59],"challenge,":[61],"discovery":[64],"possibly":[67],"overlapping":[68,210],"communities":[69,107,211,219],"given":[72,114],"node":[73],"billion-node":[76],"graph.":[77],"This":[78],"problem":[79],"common":[82],"modern":[84],"social":[86],"networks":[87,227],"like":[88],"Facebook":[89],"Linkedln.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95,176],"propose":[96],"scalable":[98],"local":[99],"approach":[102,187],"to":[103,119,183,207,212],"efficiently":[104],"unfold":[105],"individual":[109],"target":[110],"nodes":[111,125,137,203],"network.":[115],"Our":[116,140,186,214],"goal":[117],"reveal":[120],"groupings":[122],"formed":[123],"around":[124],"(e.g.,":[126,197],"users)":[127],"by":[128,191],"leveraging":[129],"relations":[131],"different":[134],"contexts":[135],"participate":[138],"in.":[139],"algorithm,":[141],"termed":[142],"Local":[143],"Dispersion-aware":[144],"Link":[145],"Communities":[146],"or":[147,204],"LDLC,":[148],"measures":[149],"similarity":[151],"pairs":[153],"links":[155,180],"graph":[158],"well":[160],"extent":[163],"participation":[166],"multiple":[168,209],"contexts.":[169],"Then,":[170],"it":[171],"determines":[172],"ordering":[174],"that":[175,229],"should":[177],"group":[178],"order":[182],"form":[184],"communities.":[185],"not":[189],"affected":[190],"constraints":[192],"existent":[193],"previous":[195],"techniques":[196],"need":[199,206],"for":[200,220],"several":[201],"seed":[202],"collapse":[208],"one).":[213],"experimental":[215],"evaluation":[216],"using":[217],"ground-truth":[218],"wide":[222],"range":[223],"show":[228],"LDLC":[230],"significantly":[231],"outperforms":[232],"state-of-the-art":[233],"methods":[234],"on":[235],"both":[236],"accuracy":[237],"efficiency.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
